Literature DB >> 20206505

Techno-economic analysis of lignocellulosic ethanol: A review.

Edgard Gnansounou1, Arnaud Dauriat.   

Abstract

Lignocellulosic ethanol is expected to be commercialised during the next decade as renewable energy for transport. Competiveness with first generation bioethanol and with gasoline is commonly considered in techno-economic analyses for commercial stage. Several existing reviews conclude about the high spread of current and projected production costs of lignocellulosic ethanol due to the significant differences in assumptions concerning the following factors: composition and cost of feedstock, process design, conversion efficiency, valorisation of co-products, and energy conservation. Focusing on the studies in the United States of America and in Europe, the present review investigates the different natures of the techno-economic evaluations during the development process of the supply chain i.e., standard costing with respect to Value Engineering, and Target Costing based on the projected market price. The paper highlights the significant contribution of feedstock to the lignocellulosic ethanol production cost and the need to consider competition between different uses for resources. It is recommended the use of a value-based approach that considers sustainability characteristics and potential competition for resources complementarily to Target Costing and Value Engineering. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20206505     DOI: 10.1016/j.biortech.2010.02.009

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  30 in total

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3.  Increase in furfural tolerance in ethanologenic Escherichia coli LY180 by plasmid-based expression of thyA.

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4.  Multifunctional cellulase catalysis targeted by fusion to different carbohydrate-binding modules.

Authors:  Johnnie A Walker; Taichi E Takasuka; Kai Deng; Christopher M Bianchetti; Hannah S Udell; Ben M Prom; Hyunkee Kim; Paul D Adams; Trent R Northen; Brian G Fox
Journal:  Biotechnol Biofuels       Date:  2015-12-21       Impact factor: 6.040

5.  A sequential pretreatment of lignocelluloses in bamboo biomass to fermentable sugars by acid/enzymatic hydrolysis.

Authors:  Praveenkumar Jagannathan; Chandrasekaran Muthukumaran; Krishnamurthi Tamilarasan
Journal:  3 Biotech       Date:  2017-07-24       Impact factor: 2.406

6.  Microbial β-glucosidases from cow rumen metagenome enhance the saccharification of lignocellulose in combination with commercial cellulase cocktail.

Authors:  Mercedes V Del Pozo; Lucía Fernández-Arrojo; Jorge Gil-Martínez; Alejandro Montesinos; Tatyana N Chernikova; Taras Y Nechitaylo; Agnes Waliszek; Marta Tortajada; Antonia Rojas; Sharon A Huws; Olga V Golyshina; Charles J Newbold; Julio Polaina; Manuel Ferrer; Peter N Golyshin
Journal:  Biotechnol Biofuels       Date:  2012-09-21       Impact factor: 6.040

7.  The potential of C4 grasses for cellulosic biofuel production.

Authors:  Tim van der Weijde; Claire L Alvim Kamei; Andres F Torres; Wilfred Vermerris; Oene Dolstra; Richard G F Visser; Luisa M Trindade
Journal:  Front Plant Sci       Date:  2013-05-03       Impact factor: 5.753

8.  Stochastic molecular model of enzymatic hydrolysis of cellulose for ethanol production.

Authors:  Deepak Kumar; Ganti S Murthy
Journal:  Biotechnol Biofuels       Date:  2013-05-02       Impact factor: 6.040

9.  Comprehensive enzymatic analysis of the cellulolytic system in digestive fluid of the Sea Hare Aplysia kurodai. Efficient glucose release from sea lettuce by synergistic action of 45 kDa endoglucanase and 210 kDa ß-glucosidase.

Authors:  Akihiko Tsuji; Keiko Tominaga; Nami Nishiyama; Keizo Yuasa
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

10.  Systems biology analysis of Zymomonas mobilis ZM4 ethanol stress responses.

Authors:  Shihui Yang; Chongle Pan; Timothy J Tschaplinski; Gregory B Hurst; Nancy L Engle; Wen Zhou; Phuongan Dam; Ying Xu; Miguel Rodriguez; Lezlee Dice; Courtney M Johnson; Brian H Davison; Steven D Brown
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

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